Rancho BioSciences

HQ
Rancho Santa Fe
100 Total Employees
Year Founded: 2012

Jobs at Rancho BioSciences

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23 Days AgoSaved
Remote
2 Locations
Pharmaceutical
Drive business growth across European biotech, pharma, and life sciences organizations by selling data, analytics, bioinformatics, informatics, and consulting services. Responsibilities include prospecting, pipeline development, relationship building, consultative selling, coordinating technical presentations and proposals, negotiating contracts, closing deals, meeting sales targets, and maintaining CRM forecasts and reporting.
One Month AgoSaved
In-Office or Remote
Boston, MA, USA
Pharmaceutical
Drive business growth across Boston and New England by selling biomedical data, analytics, bioinformatics, informatics, and consulting services to biotech, pharma, and life sciences organizations. Responsibilities include prospecting, pipeline development, relationship building, consultative selling, coordinating technical presentations and proposals, negotiating contracts, closing deals, meeting sales targets, and maintaining CRM forecasts and reporting.
One Month AgoSaved
Remote
USA
Pharmaceutical
Own and expand strategic enterprise life sciences accounts, build executive relationships, develop multi-year account strategies, and lead complex consultative sales of scientific data, bioinformatics, analytics, AI-ready data, and technology consulting solutions. Drive enterprise adoption, identify expansion opportunities, coordinate with internal leadership, and conduct executive business reviews. The role requires strong life sciences domain knowledge, enterprise account management experience, scientific credibility, and an active biopharma network.
One Month AgoSaved
In-Office or Remote
8 Locations
Pharmaceutical
Provides pathology subject-matter expertise for biomarker discovery, companion diagnostics, digital and molecular pathology, and translational research programs. Reviews literature and pathology standards, develops annotation guidelines, performs or reviews digital slide annotations, and quality-checks human- and algorithm-generated outputs. Guides AI/ML model design, training, validation, and interpretation while collaborating with pathology, histotechnology, data science, and client teams to ensure clinically meaningful and scientifically rigorous results.